Description

BaseVISor 2.0 is VIStology's versatile forward-chaining inference engine specialized to handle facts in the form of RDF triples with support for OWL 2 RL and XML Schema Datatypes. BaseVISor is a Java application and API and requires the Java 1.5 Run Time Environment.

BaseVISor 2.0 features a highly efficient forward-chaining inference engine, optimized for ontological and rule-based reasoning. Rules and facts are compiled into a Rete network and processed with respect to specified ontologies in order to generate all new inferable facts. BaseVISor 2.0 can be embedded into existing applications and extended to meet application-specific requirements. In comparison with other leading inference engines, BaseVISor 2.0 has been demonstrated to be considerably faster in inference time and query time on standard benchmarking datasets.